Designing collective behavior in a termite-inspired robot construction team

Science. 2014 Feb 14;343(6172):754-8. doi: 10.1126/science.1245842.

Abstract

Complex systems are characterized by many independent components whose low-level actions produce collective high-level results. Predicting high-level results given low-level rules is a key open challenge; the inverse problem, finding low-level rules that give specific outcomes, is in general still less understood. We present a multi-agent construction system inspired by mound-building termites, solving such an inverse problem. A user specifies a desired structure, and the system automatically generates low-level rules for independent climbing robots that guarantee production of that structure. Robots use only local sensing and coordinate their activity via the shared environment. We demonstrate the approach via a physical realization with three autonomous climbing robots limited to onboard sensing. This work advances the aim of engineering complex systems that achieve specific human-designed goals.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Animals
  • Bioengineering / methods*
  • Computer-Aided Design*
  • Facility Design and Construction / methods*
  • Isoptera*
  • Mass Behavior*
  • Robotics / methods*